From 1eac666d02d7dd6752e33f1090b40b5363d523ad Mon Sep 17 00:00:00 2001
From: Luke Campagnola <luke.campagnola@gmail.com>
Date: Mon, 10 Mar 2014 23:54:35 -0400
Subject: [PATCH] PlotDataItem._fourierTransform now uses np.interp
---
pyqtgraph/graphicsItems/PlotDataItem.py | 8 ++------
1 file changed, 2 insertions(+), 6 deletions(-)
diff --git a/pyqtgraph/graphicsItems/PlotDataItem.py b/pyqtgraph/graphicsItems/PlotDataItem.py
index 3b8d7061..5806475d 100644
--- a/pyqtgraph/graphicsItems/PlotDataItem.py
+++ b/pyqtgraph/graphicsItems/PlotDataItem.py
@@ -651,16 +651,12 @@ class PlotDataItem(GraphicsObject):
def _fourierTransform(self, x, y):
## Perform fourier transform. If x values are not sampled uniformly,
- ## then use interpolate.griddata to resample before taking fft.
+ ## then use np.interp to resample before taking fft.
dx = np.diff(x)
uniform = not np.any(np.abs(dx-dx[0]) > (abs(dx[0]) / 1000.))
if not uniform:
- try:
- import scipy.interpolate as interp
- except:
- raise Exception('Fourier transform of irregularly-sampled data requires the package scipy.interpolate.')
x2 = np.linspace(x[0], x[-1], len(x))
- y = interp.griddata(x, y, x2, method='linear')
+ y = np.interp(x2, x, y)
x = x2
f = np.fft.fft(y) / len(y)
y = abs(f[1:len(f)/2])
--
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